Package opennlp.uima.sentdetect

Source Code of opennlp.uima.sentdetect.SentenceDetectorTrainer

/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements.  See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
*     http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

package opennlp.uima.sentdetect;

import java.io.File;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.OutputStreamWriter;
import java.io.Writer;
import java.util.ArrayList;
import java.util.List;

import opennlp.maxent.GIS;
import opennlp.tools.sentdetect.SentenceDetectorFactory;
import opennlp.tools.sentdetect.SentenceDetectorME;
import opennlp.tools.sentdetect.SentenceModel;
import opennlp.tools.sentdetect.SentenceSample;
import opennlp.tools.util.ObjectStream;
import opennlp.tools.util.ObjectStreamUtils;
import opennlp.tools.util.Span;
import opennlp.tools.util.TrainingParameters;
import opennlp.tools.util.model.ModelUtil;
import opennlp.uima.util.CasConsumerUtil;
import opennlp.uima.util.OpennlpUtil;
import opennlp.uima.util.SampleTraceStream;
import opennlp.uima.util.UimaUtil;

import org.apache.uima.UimaContext;
import org.apache.uima.cas.CAS;
import org.apache.uima.cas.FSIndex;
import org.apache.uima.cas.Type;
import org.apache.uima.cas.TypeSystem;
import org.apache.uima.cas.text.AnnotationFS;
import org.apache.uima.collection.CasConsumer_ImplBase;
import org.apache.uima.resource.ResourceInitializationException;
import org.apache.uima.resource.ResourceProcessException;
import org.apache.uima.util.Level;
import org.apache.uima.util.Logger;
import org.apache.uima.util.ProcessTrace;

/**
* OpenNLP SentenceDetector trainer.
* <p>
* Mandatory parameters
* <table border=1>
*   <tr><th>Type</th> <th>Name</th> <th>Description</th></tr>
*   <tr><td>String</td> <td>opennlp.uima.ModelName</td> <td>The name of the model file</td></tr>
*   <tr><td>String</td> <td>opennlp.uima.SentenceType</td> <td>The full name of the sentence type</td></tr>
*   <tr><td>String</td> <td>opennlp.uima.EOSChars</td> <td>A string containing end-of-sentence characters</td></tr>
* </table>
*/
public final class SentenceDetectorTrainer extends CasConsumer_ImplBase {
 
  private List<SentenceSample> sentenceSamples = new ArrayList<SentenceSample>();

  private Type mSentenceType;

  private String mModelName;
 
  private String language = "en";
 
  private Logger mLogger;

  private UimaContext mContext;
 
  private String eosChars;

  private File sampleTraceFile;

  private String sampleTraceFileEncoding;
 
  /**
   * Initializes the current instance.
   */
  public void initialize() throws ResourceInitializationException {
   
    super.initialize();
   
    mContext = getUimaContext();
   
    mLogger = mContext.getLogger();
   
    if (mLogger.isLoggable(Level.INFO)) {
      mLogger.log(Level.INFO, "Initializing the OpenNLP SentenceDetector " +
          "trainer.");
    }
   
    mModelName = CasConsumerUtil.getRequiredStringParameter(mContext,
        UimaUtil.MODEL_PARAMETER);
   
    language = CasConsumerUtil.getRequiredStringParameter(mContext,
        UimaUtil.LANGUAGE_PARAMETER);
   
    eosChars = CasConsumerUtil.getOptionalStringParameter(mContext, "opennlp.uima.EOSChars");
   
   
    String sampleTraceFileName = CasConsumerUtil.getOptionalStringParameter(
            getUimaContext(), "opennlp.uima.SampleTraceFile");
       
    if (sampleTraceFileName != null) {
      sampleTraceFile = new File(getUimaContextAdmin().getResourceManager()
          .getDataPath() + File.separatorChar + sampleTraceFileName);
      sampleTraceFileEncoding = CasConsumerUtil.getRequiredStringParameter(
          getUimaContext(), "opennlp.uima.SampleTraceFileEncoding");
    }   
  }
 
  /**
   * Initializes the current instance with the given type system.
   */
  public void typeSystemInit(TypeSystem typeSystem)
      throws ResourceInitializationException {
   
    String sentenceTypeName =
        CasConsumerUtil.getRequiredStringParameter(mContext,
        UimaUtil.SENTENCE_TYPE_PARAMETER);
   
    mSentenceType = CasConsumerUtil.getType(typeSystem, sentenceTypeName);
  }

  /**
   * Process the given CAS object.
   */
  public void processCas(CAS cas) {

    FSIndex<AnnotationFS> sentenceIndex = cas.getAnnotationIndex(mSentenceType);

    Span[] sentSpans = new Span[sentenceIndex.size()];

    int i = 0;
    for (AnnotationFS sentenceAnnotation : sentenceIndex) {
      sentSpans[i++] = new Span(sentenceAnnotation.getBegin(), sentenceAnnotation.getEnd());
    }

    // TODO: The line cleaning should be done more carefully
    sentenceSamples.add(new SentenceSample(cas.getDocumentText().replace('\n', ' '), sentSpans));
  }

  /**
   * Called if the processing is finished, this method
   * does the training.
   */
  public void collectionProcessComplete(ProcessTrace trace)
      throws ResourceProcessException, IOException {
    GIS.PRINT_MESSAGES = false;
   
    char eos[] = null;
    if (eosChars != null) {
      eos = eosChars.toCharArray();
    }
   
    SentenceDetectorFactory sdFactory = SentenceDetectorFactory.create(
            null, language, true, null, eos);
   
    TrainingParameters mlParams = ModelUtil.createTrainingParameters(100, 5);
   
    ObjectStream<SentenceSample> samples = ObjectStreamUtils.createObjectStream(sentenceSamples);
   
    Writer samplesOut = null;
   
    if (sampleTraceFile != null) {
        samplesOut = new OutputStreamWriter(new FileOutputStream(sampleTraceFile), sampleTraceFileEncoding);
        samples = new SampleTraceStream<SentenceSample>(samples, samplesOut);
    }
   
    SentenceModel sentenceModel = SentenceDetectorME.train(language, samples,
         sdFactory, mlParams);
   
    // dereference to allow garbage collection
    sentenceSamples = null;
   
    File modelFile = new File(getUimaContextAdmin().getResourceManager()
        .getDataPath() + File.separatorChar + mModelName);

    OpennlpUtil.serialize(sentenceModel,modelFile);
  }

  /**
   * The trainer is not stateless.
   */
  public boolean isStateless() {
    return false;
  }
 
  /**
   * Releases allocated resources.
   */
  public void destroy() {
    // dereference to allow garbage collection
    sentenceSamples = null;
  }
}
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